Added logo to Rbuildignore

.Rbuildignore

@@ -5,3 +5,4 @@
 ^Meta$
 README.Rmd
 README.md
+^logo\.png$

R/ica.R

@@ -1,6 +1,6 @@
 #' The Robust Accurate, Direct ICA ALgorithm (RADICAL)
 #' @description
-#' The ICA algorithm of Learned-Miller (2003), based on an efficient entropy
+#' The ICA algorithm of Learned-Miller (2003), is based on an efficient entropy
 #' estimator (due to Vasicek (1976)) which is robust to outliers and requires
 #' no strong characterization assumptions about the data generating process.
 #' @param X the data matrix (n x m) where n is the number of samples and m is the number of signals.

R/methods.R

@@ -2650,12 +2650,13 @@ value_at_risk <- function(object, ...)
 
 #' Value at Risk (VaR) method for predicted and simulated objects
 #'
-#' @param object an object from the predict or simulate methods.
+#' @param object an object generated from the predict or simulate methods.
 #' @param weights a vector of weights of length equal to the number of series. If
 #' NULL then an equal weight vector is used.
 #' @param alpha the quantile level for the value at risk.
 #' @param ... not used.
-#' @return an xts matrix.
+#' @return a matrix of the value at risk. For predict type input objects this will be an xts
+#' matrix with index the forecast dates.
 #' @export
 #' @method value_at_risk gogarch.predict
 #' @rdname value_at_risk
@@ -2771,13 +2772,14 @@ expected_shortfall <- function(object, ...)
 
 #' Expected Shortfall (ES) method for predicted and simulated objects
 #'
-#' @param object an object from the predict or simulate methods.
+#' @param object an object generated from the predict or simulate methods.
 #' @param weights a vector of weights of length equal to the number of series. If
 #' NULL then an equal weight vector is used.
 #' @param alpha the quantile level for the value at risk.
 #' for the GOGARCH model.
 #' @param ... not used.
-#' @return an xts matrix.
+#' @return a matrix of the expected shortfall. For predict type input objects this will be an xts
+#' matrix with index the forecast dates.
 #' @export
 #' @method expected_shortfall gogarch.predict
 #' @rdname expected_shortfall